Buying a used electric or hybrid involves uncertainty. Motorly bridges the gap with data-driven insights.
Buying a vehicle — especially a used electric or hybrid — involves uncertainty. Listings highlight the positives, but important signals such as battery condition, usage patterns and long-term ownership risk are often difficult to interpret.
Motorly helps by analysing available information and presenting it in a structured, comparable way so buyers can make more informed decisions.
Motorly does not replace inspections or mechanical advice. Instead, it highlights patterns, trade-offs and potential risks before purchase.
Motorly combines multiple sources of information:
Basic specifications, price, mileage and location provide context for comparisons.
When available, Motorly interprets battery screenshots and diagnostic reports to estimate real-world battery condition.
Motorly maintains reference data about vehicle generations, typical performance and known usage patterns.
Range requirements, budget and priorities influence how vehicles are ranked.
No single metric determines the recommendation. Motorly evaluates vehicles across multiple dimensions, focusing on confidence and transparency.
Battery screenshots and reports can vary significantly in format and quality. Motorly processes uploads using a multi-stage approach:
Likelihood that battery condition meaningfully affects usability or long-term ownership.
Whether a vehicle appears expensive relative to condition and alternatives.
Factors that may affect future value or market demand.
Suitability based on range, budget, and priorities.
Proprietary algorithms cannot eliminate risk, but they can make it visible. Motorly highlights trade-offs explicitly, helping buyers avoid over-optimising a single metric.
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